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New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment

OBJECT: Hospital sewage have been associated with incorporation of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) into microbes, which is considered as a key indicator for the spread of antimicrobial resistance (AMR). The compositions of dental waste water (DWW) contain heavy...

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Autores principales: Jiao, Xiaoyang, Guo, Wenyan, Li, Xin, Yao, Fen, Zeng, Mi, Yuan, Yumeng, Guo, Xiaoling, Wang, Meimei, Xie, Qing Dong, Cai, Leshan, Yu, Feiyuan, Yu, Pen, Xia, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157219/
https://www.ncbi.nlm.nih.gov/pubmed/37152760
http://dx.doi.org/10.3389/fmicb.2023.1106157
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author Jiao, Xiaoyang
Guo, Wenyan
Li, Xin
Yao, Fen
Zeng, Mi
Yuan, Yumeng
Guo, Xiaoling
Wang, Meimei
Xie, Qing Dong
Cai, Leshan
Yu, Feiyuan
Yu, Pen
Xia, Yong
author_facet Jiao, Xiaoyang
Guo, Wenyan
Li, Xin
Yao, Fen
Zeng, Mi
Yuan, Yumeng
Guo, Xiaoling
Wang, Meimei
Xie, Qing Dong
Cai, Leshan
Yu, Feiyuan
Yu, Pen
Xia, Yong
author_sort Jiao, Xiaoyang
collection PubMed
description OBJECT: Hospital sewage have been associated with incorporation of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) into microbes, which is considered as a key indicator for the spread of antimicrobial resistance (AMR). The compositions of dental waste water (DWW) contain heavy metals, the evolution of AMR and its effects on the water environment in the context of heavy metal environment have not been seriously investigated. Thus, our major aims were to elucidate the evolution of AMR in DWW. METHODS: DWW samples were collected from a major dental department. The presence of microbial communities, ARGs, and MGEs in untreated and treated (by filter membrane and ozone) samples were analyzed using metagenomics and bioinformatic methods. RESULTS: DWW-associated resistomes included 1,208 types of ARGs, belonging to 29 antibiotic types/subtypes. The most abundant types/subtypes were ARGs of multidrug resistance and of antibiotics that were frequently used in the clinical practice. Pseudomonas putida, Pseudomonas aeruginosa, Chryseobacterium indologenes, Sphingomonas laterariae were the main bacteria which hosted these ARGs. Mobilomes in DWW consisted of 93 MGE subtypes which belonged to 8 MGE types. Transposases were the most frequently detected MGEs which formed networks of communications. For example, ISCrsp1 and tnpA.5/4/11 were the main transposases located in the central hubs of a network. These significant associations between ARGs and MGEs revealed the strong potential of ARGs transmission towards development of antimicrobial-resistant (AMR) bacteria. On the other hand, treatment of DWW using membranes and ozone was only effective in removing minor species of bacteria and types of ARGs and MGEs. CONCLUSION: DWW contained abundant ARGs, and MGEs, which contributed to the occurrence and spread of AMR bacteria. Consequently, DWW would seriously increase environmental health concerns which may be different but have been well-documented from hospital waste waters.
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spelling pubmed-101572192023-05-05 New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment Jiao, Xiaoyang Guo, Wenyan Li, Xin Yao, Fen Zeng, Mi Yuan, Yumeng Guo, Xiaoling Wang, Meimei Xie, Qing Dong Cai, Leshan Yu, Feiyuan Yu, Pen Xia, Yong Front Microbiol Microbiology OBJECT: Hospital sewage have been associated with incorporation of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) into microbes, which is considered as a key indicator for the spread of antimicrobial resistance (AMR). The compositions of dental waste water (DWW) contain heavy metals, the evolution of AMR and its effects on the water environment in the context of heavy metal environment have not been seriously investigated. Thus, our major aims were to elucidate the evolution of AMR in DWW. METHODS: DWW samples were collected from a major dental department. The presence of microbial communities, ARGs, and MGEs in untreated and treated (by filter membrane and ozone) samples were analyzed using metagenomics and bioinformatic methods. RESULTS: DWW-associated resistomes included 1,208 types of ARGs, belonging to 29 antibiotic types/subtypes. The most abundant types/subtypes were ARGs of multidrug resistance and of antibiotics that were frequently used in the clinical practice. Pseudomonas putida, Pseudomonas aeruginosa, Chryseobacterium indologenes, Sphingomonas laterariae were the main bacteria which hosted these ARGs. Mobilomes in DWW consisted of 93 MGE subtypes which belonged to 8 MGE types. Transposases were the most frequently detected MGEs which formed networks of communications. For example, ISCrsp1 and tnpA.5/4/11 were the main transposases located in the central hubs of a network. These significant associations between ARGs and MGEs revealed the strong potential of ARGs transmission towards development of antimicrobial-resistant (AMR) bacteria. On the other hand, treatment of DWW using membranes and ozone was only effective in removing minor species of bacteria and types of ARGs and MGEs. CONCLUSION: DWW contained abundant ARGs, and MGEs, which contributed to the occurrence and spread of AMR bacteria. Consequently, DWW would seriously increase environmental health concerns which may be different but have been well-documented from hospital waste waters. Frontiers Media S.A. 2023-04-20 /pmc/articles/PMC10157219/ /pubmed/37152760 http://dx.doi.org/10.3389/fmicb.2023.1106157 Text en Copyright © 2023 Jiao, Guo, Li, Yao, Zeng, Yuan, Guo, Wang, Xie, Cai, Yu, Yu and Xia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Jiao, Xiaoyang
Guo, Wenyan
Li, Xin
Yao, Fen
Zeng, Mi
Yuan, Yumeng
Guo, Xiaoling
Wang, Meimei
Xie, Qing Dong
Cai, Leshan
Yu, Feiyuan
Yu, Pen
Xia, Yong
New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title_full New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title_fullStr New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title_full_unstemmed New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title_short New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
title_sort new insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157219/
https://www.ncbi.nlm.nih.gov/pubmed/37152760
http://dx.doi.org/10.3389/fmicb.2023.1106157
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